import tensorflow as tf
from keras.datasets import cifar10,cifar100
(train_images,train_labels),(test_images,test_labels)=cifar10.load_data()
(train_images100,train_labels100),(test_images100,test_labels100)=cifar100.load_data()
print(test_images.shape)
print(train_images.shape)
import matplotlib.pyplot as plt
plt.figure(figsize=(6,6))
plt.imshow(train_images[100])
plt.show()